Stats in R: Class Test 2 Flashcards

1
Q

What does a Chi-Squared do?

A

Provides an analysis of frequency data between observed and expected data

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2
Q

How do you know if the Chi-Squared shows a significant difference?

A

If the critical value is less than the computed value

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3
Q

What does a t-test analyse?

A

Variance

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4
Q

What does a t-test compare specifically?

A

Means and variances of two or more datasets

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5
Q

When is a t-test suitable?

A

When data is normally distributed or sample size is large

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6
Q

What do one-sample and two=sample t-tests against?

A

A one-sample t-test, tests against a regulatory limit or identified value and a two-sample for one mean against the other

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7
Q

ANOVA analysis should be used on what kind of data?

A

Categorical

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7
Q

What test can be used if the sample is non-normally distributed?

A

The Two sample Mann-Whitney U Test

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7
Q

How should the Residual and QQ Plot look for ANOVA model checking?

A

Residuals should have no obvious structure between stack and QQ plot should have all points on the 45 degree line or close

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8
Q

When is ANOVA appropriate?

A

When comparing means and variances of two or more datasets and if the dataset includes replication (variation)

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9
Q

When should a transform be used?

A

When data is non-normal and positively skewed and model checking is not successful

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10
Q

How is a maximal model created?

A

Include all EVs as well as any interaction between them with *

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11
Q

How is the Minimum Sufficient Model reached?

A

Remove the least significant variable, one by one until all variables are significant

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12
Q

What does the Tukey “Honest Significant Difference” function identify?

A

Determines between which groups that there is a significant difference

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